Dataset Versions
Versions
v6
2024-02-23 10:22pm
Generated on Feb 23, 2024
13856 Total Images
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Dataset Split
Train Set 80%
11072Images
Valid Set 13%
1856Images
Test Set 7%
928Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 224x224
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%